[HTML][HTML] Ransomware early detection: A survey

M Cen, F Jiang, X Qin, Q Jiang, R Doss - Computer Networks, 2024 - Elsevier
In recent years, ransomware attacks have exploded globally, and it has become one of the
most significant cyber threats to digital infrastructure. Such attacks have been targeting …

A comprehensive analysis combining structural features for detection of new ransomware families

CC Moreira, DC Moreira, C Sales Jr - Journal of Information Security and …, 2024 - Elsevier
This study presents a comprehensive static analysis method that combines multiple
structural features extracted from Windows executable files. The method employs an …

The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models

QM Yaseen - Information, 2023 - mdpi.com
Several supervised machine learning models have been proposed and used to detect
Android ransomware. These models were trained using different datasets from different …

[PDF][PDF] Ransomware attack detection based on perti-nent system calls using machine learning techniques

A Dib, S Ghazi, MMS Mehdi - Inter. J. Comput. Netw. Commun, 2023 - researchgate.net
In the last few years, the evolution of information technology has resulted in the development
of several interesting and sensitive fields such as the dark Web and cyber-criminality …

Machine learning classification of internet worms and ransomware attacks and effect of BGP feature properties

HK Takhar - 2023 - summit.sfu.ca
Cyberattacks cause significant disruptions to communication networks and it is crucial to
detect and prevent such malicious behaviors to provide secure and reliable network …

Effect of Connection State & Transport/Application Protocol on the Machine Learning Outlier Detection of Network Intrusions

TJ Wagner, P Auclair, BT Langhals - 2022 - scholar.afit.edu
The majority of cyber infiltration & exfiltration intrusions leave a network footprint, and due to
the multi-faceted nature of detecting network intrusions, it is often difficult to detect. In this …